Sentence examples for permits us to predict from inspiring English sources

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The other obtained results show that the knowledge of the degree of anisotropy of the laminate permits us to predict the state of different stresses in the ply frame.

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According to Frost [16] (2003), the amount of strain can be divided into various ranges, permitting us to predict the effects on the bone.

From the results obtained herein, the heteroliganded gold nanoisland and the detection method permit us to predict the ratio of a protein and macrospecies derived from a protein.

The parameters,,, and represent the inherent properties of the medium and their knowledge should theoretically permit us to predict the propagation of light in the water.

Detected equilibrium points permit us to predict periodic regime(s) while singular points can lead the system to strongly modulated responses characterized by persistent bifurcations.

Our annotation did not permit us to predict the substrates of these transporters but it is likely that many of them are antibiotic transporters.

While we could identify candidate binding elements in this region based on biological inference [9], the level of resolution provided by mouse/human sequence comparison did not permit us to predict putative binding elements based solely on sequence conservation.

The prompt initiation of therapy does not permit us to predict if more complex arrhythmias could appear later in the absence of therapy.

This will permit us to predict which variables influence the failures, with the aim of correcting the defects of the cognitive knowledge and skills, which have led to the failure of the restorations in the posterior region.

Considering that genes belonging to the same operon are predicted to have related functions, the interactions extracted according to the genomic position permit us to predict the biological function of unknown proteins and provides experimental evidence to reinforce the functional relationships between proteins encoded by adjacent genes.

For example, understanding network structure in high risk areas will permit us to predict their responses to short (e.g. El Niño events, seasonal changes) and long-term disruptions (e.g. deforestation and climate change), and by doing so, we can accurately assess relative vulnerability of individual species and networks as a whole.

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